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Connect to ESPN's fantasy football API via this JS API client for web and NodeJS. Available as an npm package.
Predicting NFL games using Machine Learning
Recorded statistics for all football players to ever play in the NFL
Data and code for FiveThirtyEight's NFL game
An API to retrieve and read NFL Game Center JSON data. It can work with real-time data, which can be used for fantasy football.
Python Functions used in the paper: "From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting"
All the projects made in the electrical energy engineering course taken in the University of Bologna.
NFL stats dashboard (full stack web app) using AWS's Next Gen NFL Stats for displaying and tracking passing data.
Python API for Tesla Powerwall and Solar Power Data
Forecasting Bitcoin Prices via ARIMA, XGBoost, Prophet, and LSTM models in Python
LSTM-XGBoost Time Series Forecasting
End-to-end development pipeline for predicting retail gas prices in Seattle using deep learning.
Forecasting the gas price trend and finding the best machine learning model to make the future prediction.
Using XGBoost Python library to create a model for short-term forecasting of crude oil prices based on other important prices trends (gold, silver, crude oil, ...)
Developing a trend following model using futures
PyTrendFollow - systematic futures trading using trend following
Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…
Running analysis on options alerts from Unusual Whales
Machine Learning-Based Predictive Modelling of CRISPR/Cas9 guide efficiency
Feature Engineering and Feature Importance in Machine Learning for Financial Markets
This is the final project following my time at Flatirons Data Science bootcamp. It uses Neural Networks (and other machine learning methods) to predict the day ahead electricity price, and modelled…
This is a Python implementation of the Heston model for option pricing using Monte Carlo simulation. The code takes in parameters and generates stock price and volatility paths, calculates the opti…